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Research Article

Critical delay factors for construction projects in Central Aceh District, Indonesia

[version 1; peer review: 1 approved with reservations, 1 not approved]
PUBLISHED 29 Apr 2022
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Abstract

Background: Construction development in Indonesia is growing rapidly, especially in Central Aceh District. Construction projects have distinctive characteristics and are very complex, so that risk events can have a serious impact on the viability of the project. A lack of attention to the risks faced will affect project implementation by creating delays, resulting in losses. The purpose of this study was to (1) identify the risk factors that cause delays in construction projects and (2) determine those particular risk factors that have a greater influence on construction projects. The location of this research was Central Aceh District, Indonesia.
Methods: The data in this study were primary data in the form of a questionnaire and secondary data obtained from the literature related to this particular type of research. Questionnaires were distributed to respondents, namely contractor companies located in the Central Aceh District. The questionnaires were distributed to determine respondents' opinions about the level of influence of risk factors causing project delays. We used a validity test, reliability test, and descriptive analysis for data processing.
Results: Based on the results of the study from 47 respondents, the “very high influence” category (Mode=5) for the tool malfunction factor was chosen by 21 respondents (44.68%), cost estimation inaccuracy by 20 respondents (42.55%), increased work costs by 22 respondents (46.81%), implementation of new technologies by 25 respondents (53.19%), details, accuracy and conformity to specifications that are not appropriate by 20 respondents (42.55%), worker quarrels by 20 respondents (42.55%), poor project planning and management by 22 respondents (46.81%), poor condition at locations and accessibility difficulty by 20 respondents (42.55%).
Conclusions: Of the 80 risk factors that caused project delays, eight risk factors were found to have a very high influence on the implementation of construction projects in Central Aceh District.

Keywords

delay factors, project management, risk management, construction industry, schedule delays

Introduction

The Central Aceh Regency is one of the regions in Aceh Province, Indonesia, experiencing rapid growth. This can be observed in the number of construction projects currently underway.1 The implementation of construction projects in the Central Aceh Regency often experiences failures and delays,1 which can cause project losses. Construction projects are dynamic and consist of limited resources. A complex project can cause high-risk and uncertain events that can cause delays and cost overruns on projects,2 thus allowing for uncertainty in the implementation process, which leads to various types of risks that ultimately cause losses to the parties involved in the construction project and affect the achievement of the desired goal. Risk is a condition in which there is a possibility of gain/loss,3 with losses, such as cost losses, injuries, and delays caused by uncertainty during project implementation. One of the most influential risk factors is changing the order.4 Delays in the implementation of projects are among the risks that often occur in the implementation of construction projects, especially in developing countries.58 Project delays and cost overruns can harm projects.9

An increase in fuel prices can cause cost increases, losses, and delays in construction projects.6,10 There are five causes for a project loss: (1) improper planning and scheduling, (2) many changes to orders by clients, (3) incompetent site management and supervision, (4) inexperienced subcontractors, and (5) poor contractor finances.11 Experienced contractors can accelerate a project schedule.12 The most influential risk factor for projects in Jordan (the Middle East) is poor soil/site conditions in construction projects.13

Previous research has shown that delays in project implementation can lead to cost overruns.14 Delays affect planning and control,15 especially during project implementation.16 Project delays can lead to losses, legal problems, and contract termination.17,18 The contractor suffers losses owing to cost overruns. For example, in Nigeria, cost overruns and delays are frequent factors affecting projects.19 It is important to apply risk management to avoid project failure because construction projects are complex and involve many risks.20 Project risk is defined as an unforeseen event or situation that can harm a project.21 Risk management is an important process for achieving project objectives.22,23 Identifying, assessing, and managing construction project risks is indispensable for risk management. A successful project is time- and cost-effective, and has good construction quality.24 Managing risk is an important mechanism in the construction sector, which is performed to obtain project objectives in the form of cost, time, safety, and good quality25; the most influential risk factor is material.26

Development projects globally often involve considerable risk. Inflation causes delays and losses.27 Risks can affect the time, cost, quality, and performance of a construction project.28 Time risk affects project costs. Project risk management aims to increase profits and reduce losses.29

For construction projects, overtime or delays are common during project implementation. Time delays can be described as events or interruptions that result in a project not being completed within the time specified in the contract. Defining delays as actions or activities that increase the time required by the contractor to conduct the project is referred to as time contingency.30

Only 30% of Saudi Arabian construction projects implemented require an average additional time of approximately 10–30%, where there are nine main groups of risk factors causing delays: costs, resources, contracts, schedule, government relations, personnel, planning, equipment, and environmental factors. Funding delay is the most important delay factor.31 In project implementation, the contractor company does not know the risk of project delays. Therefore, to avoid losses and delays in construction projects, research is needed to identify and analyze the factors causing delays in construction projects, particularly in Indonesia and the Central Aceh District, given the complex conditions of the district, including socio-cultural diversity, high inflation rates, low public education, frequent disasters, community economy weakness, geographic location, social and political conflicts, and economic crises.32

Risk identification is conducted by collecting all information related to activities and analyzing it to find every possible risk that could result in a loss. Risk identification can be performed using several techniques.33 Identifying risks in a project consists in compiling (1) a list of risks that can cause losses, (2) a list of potential losses, and in this checklist compiling (3) a list of losses and (4) a ranking of losses occurring, and then (5) classifying losses. Project delays also occur owing to work accidents.34 The type of soil and rock at the project site is one of the main risk factors for project delay.35

Methods

Questionnaire design

The primary data in this study was questionnaire data; the questionnaire was distributed to 47 respondents and contained 80 questions about project delays. Secondary data were obtained from studies in the literature such as journals, books, and other literature related to this research, as well as data about contractor companies obtained from the National Construction Services Association. The distribution of questionnaires aimed to determine the level of influence of risk factors causing project delays; a closed questionnaire was used, where answer choices had been determined in advance, and respondents were given the opportunity to choose the most appropriate answer.36 For data processing, we used a validity test, a reliability test, and descriptive analysis.

The questionnaire was composed of two parts: questionnaire A and questionnaire B. Questionnaire A concerned the characteristics of respondents, and questionnaire B concerned the level of influence of factors causing project delays. Assessment of the level of influence of 80 project delay risk factors was carried out using a Likert scale, which consists of five points as defined in previous studies (e.g., References 31,37,38). The Likert scale has previously been used to measure the perceptions of respondents about social events3941 and can be seen in Table 1.

Table 1. Likert scale.

No.CategoryScore
1Very high influence5
2High influence4
3Medium influence3
4Low influence2
5Very low influence1

Data collection

The data collected for this research were questionnaire data, from questionnaire tools distributed to respondents, namely contractor companies located in Central Aceh District. The collection of data was carried out over two months by the researchers. This study used probability sampling, namely simple random sampling in distributing questionnaires. Simple random sampling technique is a technique consisting in taking samples randomly from members of the population.42 The targeted respondents were contractors from the Central Aceh Regency, which has a population of 53 contractor companies. The experimental procedures were approved by the Institutional Review Board at Syiah Kuala University (IRB protocol number 99). All of these experimental methods were carried out in accordance with the regulations of the Institutional Review Board of Syiah Kuala University in Indonesia, and all participants gave their informed consent. The total sample size was 47 companies, calculated from the total population with an inaccuracy allowance of 5%, then by using the Slovin formula.43 Data collection was performed by distributing questionnaires to respondents directly.

(1)
n=N1+Nxe2

Table 2 shows that based on the identification of risk factors for delay, there were 80 causes of construction project delays, which were categorised into seven main factors.

Table 2. Factors causing project delays.

NoDescription of causesCategory
1Increase in material pricesMaterial
2Delay in material deliveryMaterial
3Material theftMaterial
4Substandard material qualityMaterial
5The volume and type of material is not appropriateMaterial
6Damage during shipping and storage materialMaterial
7Limited material storage spaceMaterial
8Supplier cannot fulfil material orderMaterial
9Poor material planning & managementMaterial
10Waste material handlingMaterial
11Small equipment capacity (small production)Equipment
12Equipment misplacementEquipment
13Delay in equipment mobilizationEquipment
14Incomplete equipmentEquipment
15Tool malfunctionEquipment
16Negligence in checking the condition of the equipmentEquipment
17Productivity and efficiency decreasedEquipment
18Additional equipment rental costsEquipment
19Fuel scarcityEquipment
20Difficult access for heavy equipment to be used during the execution of the project siteEquipment
21Poor equipment planning & managementEquipment
22High equipment maintenance costEquipment
23Do not understand the procedure for using equipmentEquipment
24Equipment not in accordance with conditionEquipment
25Ownership of rental equipmentEquipment
26Ownership of the lease-purchase equipmentEquipment
27Ownership of proprietary equipmentEquipment
28Owner does not pay on timeFinancial
29Cost estimation inaccuracyFinancial
30Did not predict unexpected costsFinancial
31Delay penaltyFinancial
32Increased costs due to environmental safeguardsFinancial
33Increased work costsFinancial
34Inefficient budgetingFinancial
35Availability of cashFinancial
36Availability of project financing sources (debtors) banks/third partiesFinancial
37Profit targetFinancial
38Unofficial chargesFinancial
39Financial constraints on the contractorFinancial
40Investors bankruptcyFinancial
41Incompatibility of the use of costs with the progress of workFinancial
42Inaccurate construction method causes errors during projectConstruction method
43Implementation of new technologiesConstruction method
44Change in construction methodConstruction method
45Details, accuracy and conformity to specifications that are not appropriateConstruction method
46Planning changes due to the results of site measurements and investigationsConstruction method
47Draft accuracy adjustment with the construction methods usedConstruction method
48Lack of availability of construction technologyConstruction method
49Poor control and testing methods of qualityConstruction method
50Damage of surrounding buildings due to project workConstruction method
51The feasibility of the construction methodConstruction method
52Wrong test method (lab error)Construction method
53Lack of worker availabilityWorkers
54Lack of workers capabilityWorkers
55Lack of workers disciplineWorkers
56Low worker productivityWorkers
57Lack of cohesiveness of the work teamWorkers
58Workers quarrelWorkers
59Workers strike forceWorkers
60Decreased productivityWorkers
61Lack of project manager skill and experienceContractor management
62The lack of coordination/communicationContractor management
63Lack of contractor skills and experienceContractor management
64Loss of data and documentsContractor management
65Incompetent and inexperienced engineerContractor management
66Lack of top management supportContractor management
67Poor project planning and controllingContractor management
68No clear authority, duties, and responsibilities (unclear task delegation)Contractor management
69Not administrated in project documentsContractor management
70Lack of supervision of subcontractors and suppliersOperational
71Lack of supervision of the scheduleOperational
72Power disturbancesOperational
73Difficulty to establish temporary facilityOperational
74The amount of work that does not go according to planOperational
75Changes to construction work due to implementation difficultyOperational
76Changes in supplier/contractor performanceOperational
77Repairs due to repetitive workOperational
78Poor condition at locations and accessibility difficultyOperational
79Lack of telecommunications network provisionOperational
80Work permission overdueOperational

Descriptive statistics

Descriptive statistics are used to collect, organize and process data to be presented and provide a clear picture, regarding a particular condition or event where the data is taken. Descriptive statistics are to present data clearly, in order to be taken or certain meanings.44 Descriptive statistics provide an overview of the object under study through sample or population data without analyzing and making conclusions that apply to the public.45 Quantitative descriptive research describes data in the form of numbers, and the size of the data includes the mean value, mode, and median. The size of the data deployment includes variance and standard deviation.46 Descriptive statistical analysis determines the most influential factors on project delays, and uses mode value, which is the data that appears most often.

Results and discussion

Validity test

The validity test is a tool to test whether each question item truly reveals the factors or indicators that need to be investigated.47 Validity testing was performed by distributing the questionnaires to 20 respondents. A validity test was performed for each variable using Pearson's product moment analysis. The variable was considered valid if the rxy value was greater than the r-table value. The r-table value obtained was 0.288, with degrees of freedom (df) associated with or an error level of 0.05, in both directions. The question had a value greater than 0.288; therefore, the questionnaire was deemed feasible and valid.

Reliability test

A reliability test was conducted to determine whether the questionnaire was reliable, with a coefficient of ≥ 0.6. If the value was above 0.60, the questionnaire was considered reliable and feasible to use.48

As shown in Table 3, a reliability coefficient of 0.958 was obtained. This shows that the coefficient of Cronbach's alpha for the variable causing the delay was greater than 0.6. Therefore, the questionnaire was deemed to be reliable.

Table 3. Reliability test results.

NoFactorsCronbach alphaConclusion
1800.958Reliable

Respondents and company profiles

Questionnaires were distributed to 47 respondents; their characteristics are presented in Table 4.

Table 4. Characteristics of respondents.

NoGroupFrequency (N = 47)Percentage (%)
1Company period of activity
0–5 years1021.28%
>6–10 years1123.40%
>10–15 years817.02%
>15 years1838.30%
2Number of projects handled
1–3510.64%
>3–648.51%
>6–101225.53%
>102655.32%
3Estimated project duration each year
0–6 months4187.23%
>6–12 months612.77%

Questionnaires were distributed to 47 respondents, and the results of distributing questionnaires on the characteristics of the respondents can be concluded based on the results of the research in Table 4. It was found that most companies, that is, 18 companies (38.30%) had over 15 years of experience in the construction sector, and the majority (26 companies, 55.32%) had handled several construction projects above 10. The majority, i.e.41 companies (87.23%) had estimated project durations of 0–6 months per year.

Level of influence of project delay factors

A descriptive analysis was used to determine the level of influence of the delay risk variable. The descriptive analysis uses the mode value to determine the data that appear most often, and thus the responses that are most chosen by the respondents are obtained. The results of the levels of the factors influencing project delays are shown in Table 5.

Table 5. Results of descriptive statistics on the level of influence of project delay factors.

NoDescription of causesnModeLevel of influence
1Increase in material prices474High
2Delay in material delivery474High
3Material theft474High
4Substandard material quality474High
5The volume and type of material is not appropriate474High
6Damage during shipping and storage material474High
7Limited material storage space474High
8Supplier cannot fulfill material order474High
9Poor material planning & management474High
10Waste material handling474High
11Small equipment capacity (small production)474High
12Equipment misplacement474High
13Delay in equipment mobilization474High
14Incomplete equipment474High
15Tool malfunction475Very high
16Negligence in checking the condition of the equipment474High
17Productivity and efficiency decreased474High
18Additional equipment rental costs474High
19Fuel scarcity474High
20Difficult access for heavy equipment to be used during the execution of the project site474High
21Poor equipment planning & management474High
22High equipment maintenance cost474High
23Do not understand the procedure for using equipment474High
24Equipment not in accordance with condition474High
25Ownership of rental equipment474High
26Ownership of the lease-purchase equipment474High
27Ownership of proprietary equipment474High
28Owner does not pay on time474High
29Cost estimation inaccuracy475Very high
30Did not predict unexpected costs474High
31Delay Penalty474High
32Increased costs due to environmental safeguards474High
33Increased work costs475Very high
34Inefficient budgeting473Medium
35Availability of cash474High
36Availability of project financing sources (debtors) banks / third parties474High
37Profit target474High
38Unofficial charges474High
39Financial constraints on the contractor474High
40Investors bankruptcy474High
41Incompatibility of the use of costs with the progress of work474High
42Unaccurate construction method causes errors during project474High
43Implementation of new technologies475Very high
44Change in construction method474High
45Details, accuracy and conformity to specifications that are not appropriate475Very high
46Planning changes that due to the results of site measurements and investigations474High
47Draft accuracy adjustment with the used construction methods474High
48Lack of availability of construction technology474High
49Poor control and testing methods of quality474High
50Damage of surrounding buildings due to project work474High
51The feasibility of the construction method474High
52Wrong test method (lab error)474High
53Lack of worker availability474High
54Lack of workers capability474High
55Lack of workers discipline474High
56Low worker productivity474High
57Lack of cohesiveness of the work team474High
58Workers quarrel475Very high
59Workers strike force474High
60Decreased Productivity474High
61Lack of project manager skill and experience474High
62The lack of coordination / communication474High
63Lack of contractor skills and experience474High
64Loss of data and documents474High
65Incompetent and inexperienced engineer474High
66Lack of top management support474High
67Poor project planning and controlling475Very high
68No clear authority, duties, and responsibilities (unclear task delegation)474High
69Not administrated in project documents474High
70Lack of supervision of subcontractors and suppliers474High
71Lack of supervision of the schedule474High
72Power disturbances474High
73Difficulty to establish temporary facility474High
74The amount of work that does not go according to plan474High
75Changes to construction work due to implementation difficulty474High
76Changes in supplier / contractor performance474High
77Repairs due to repetitive work474High
78Poor condition at locations and accessibility difficulty475Very high
79Lack of telecommunications network provision474High
80Work permission overdue474High

Table 6 shows that of the 80 variables causing project delays, based on the respondents' opinions, there were eight risk factors in the very high influence category (Mode = 5), 71 factors of high influence category (Mode = 4), and one factor that belonged to the medium influence category (Mode = 3).

Table 6. Level influence based on number of items.

Level influenceNumber of items
Very high influence8
High influence71
Medium influence1
Low influence0
Very low influence0

Figure 1 shows that the research results identified eight factors causing project delays that had a mode value of 5, including the very high influence category: tool malfunction, cost estimation inaccuracy, increased work costs, implementation of new technologies, details, inappropriate accuracy and conformity to specifications, workers quarrel, poor project planning and control, poor condition at locations, and accessibility difficulty.

358e84ef-e9c5-40ee-9b9d-44aa8271457c_figure1.gif

Figure 1. Delay factors in the very high influence category based on the respondents’ answers.

Figure 1 shows that of the 47 respondents, 21 (44.68%) chose the very high influence category (mode =5) for the tool malfunction factor. Cost estimation inaccuracy was chosen by 20 respondents (42.55%), increased work costs by 22 respondents (46.81%), implementation of new technologies by 25 respondents (53.19%), details, accuracy, and conformity to specifications that were not appropriate by 20 respondents (42.55%), workers quarrel by 20 respondents (42.55%), poor project planning and control by 22 respondents (46.81%), poor condition at locations, and accessibility difficulty by 20 respondents (42.55%).

Based on the results of the questionnaire distribution, Figure 2 shows that 89% of respondents chose the high influence category, 10% chose the very high influence category, and 1% chose the medium influence category. The results of the descriptive statistics on the influence level of each delay factor are shown in Table 5.

358e84ef-e9c5-40ee-9b9d-44aa8271457c_figure2.gif

Figure 2. Percentage level of influence.

Factor 1: Tool malfunction

The distribution of ratings for the mode value for tool malfunction was 5 (very high influence). Therefore, the results of the study indicate that the majority of respondents rated the tool malfunction indicator as having a very high influence on project delays.6,49,50 Equipment damage can cause losses and endanger workers. One of the problems that often occurs is the tool’s age; the tool becomes damaged if it is too old. To avoid damage to the tool, it is best to perform routine and periodic maintenance such that the tool is more durable in operation.

Factor 2: Cost estimation inaccuracy

The mode value for the cost estimation inaccuracy was 5 (very high influence). Therefore, the results of the study show that the majority of respondents rated the cost estimation inaccuracy indicator as having a very high influence over project delays. Cost estimation inaccuracies can result in delays and losses.49 Cost estimation is a calculation of the costs required to complete an activity or work in accordance with the requirements or contract; therefore, if the cost calculation is not appropriate, risk increases and can cause losses to the project. Therefore, accurate cost estimation is required to avoid risk. The main risk and uncertainty factor in a project is the estimated cost.51

Factor 3: Increased work costs

The mode value for the increased work cost indicator was 5 (very high influence). Therefore, the results of the study indicate that the majority of respondents assess the indicator of increased work costs as having a very high influence on project delays. Cost overruns often occur in a project because the project implementation costs are greater than the project budget planning that has been set at the initial stage (estimated), which can cause significant losses for the project contractor. An increase in work costs is one of the causes of project delays.6,52 The increase in the cost of work needs to be considered because it involves the amount of investment that must be made by the owner, where the cost overrun is vulnerable to the risk of failure. Therefore, project costs must be managed properly to minimize the possibility of cost overruns. Cost control is the final step of the project cost management process, which ensures that the use and expenditure of costs are in accordance with the planning in the form of a predetermined budget, and thus there is no increase in work costs.

Factor 4: Implementation of new technologies

The mode value for the implementation of new technologies was 5 (very high influence). Therefore, the results of the study indicate that the majority of respondents assessed the implementation of new technologies as having a very high influence on project delays. The development of new technological innovation and creativity is key to winning over competition and building resilience in the construction industry.53 Mastery and utilization of technology is needed by construction industry players to compete globally.53 The application of new and special technology that is not well known is a risk factor for project implementation because if the contractor does not know or understand new technology, it can hinder the implementation of the project, cause the project to fail or not be in accordance with the plans and losses, and can cause project delays.6,49

Factor 5: Details, accuracy and conformity to specifications that are inappropriate

Inappropriate details, accuracy, and conformity to specifications have a mode value of 5 (very high influence). Therefore, the results of the study indicate that the majority of respondents assess the indicators of detail, accuracy, and conformity to specifications that are inappropriate as having a very high influence on project delays. However, inappropriate specifications can hinder the implementation of construction projects.49

Factor 6: Workers quarrel

The workers’ quarrel factor had a mode value of 5 (very high influence). Therefore, the results of this study indicate that the majority of respondents assessed the indicator of workers’ quarrels as having a very high influence on project delays. Workers’ quarrels are a risk factor that can disrupt the project because if there is a fight between workers, project implementation will automatically stop and cause delays.6,50 A method often used to resolve conflicts occurring between workers and in human resources on projects is a problem-solving approach, namely, discussing openly and directly using dialogue between the parties involved, identifying problems that cause conflict, seeking and collecting information on the causes of conflict, and analyzing various alternatives that are considered to be the best solution.54

Factor 7: Poor project planning and controlling

Poor project planning and controlling factors had a mode value of 5 (very high influence). Therefore, the results of this study indicate that the majority of respondents assessed poor project planning and control as having a very high influence on project delays. Poor project planning and control are weaknesses that can lead to the possibility of a project not going as planned, and the project results are also likely not to run as expected. Therefore, poor project planning and control can result in delays and losses for the contractors. Contracting companies have a significant influence on project delays.55,56 The views of clients and contractors on the causes of delays differ as they tend to blame each other for unfortunate incidents.14,50,57

Factor 8: Poor conditions at locations and accessibility difficulty

The majority of respondents rated poor conditions and accessibility difficulty at locations as having a very high influence on project delays, where the distribution of ratings for the mode value was 5 (very high influence). Construction locations can be in poor conditions and inaccessible in the Central Aceh District, which is hilly and surrounded by mountains, making access to project sites quite difficult. Poor and difficult-to-reach project site conditions can affect project delays and potentially cause project failures6,58 because of (1) a lack of initial information on field conditions, (2) contractors not conducting initial surveys, and (3) the work environment not being prepared, such as land clearing and acquisition, fresh air supply, and adequate lighting.59 To avoid project delays and failures, it is expected that the contractor can collect information and conduct an initial survey regarding the condition of the project site before implementing the project such that the contractor can plan strategies for the project to run smoothly.

Conclusions

The Indonesian government is actively engaged in construction in various sectors to create prosperity and welfare for its people. However, there are still many obstacles to working on construction projects that are not in accordance with the planned schedule. One of these obstacles is delays in construction projects. Obstacles and risks often occur during project implementation, resulting in project delays and losses. Delay in the implementation of construction projects is one of the risks that often occurs in the implementation of construction projects, especially in developing countries. Project delays for contractors can cause time and cost losses because the profits expected by the contractor are reduced, the contractor does not obtain the expected profits, or there may even be no profits at all. For project owners, delays in completing work can cause losses. Various methods have been implemented to avoid the problems that result in delays and losses. Identifying the root causes of delays is an important first step in mapping the problems that can cause project delays. The correct solution or strategy to overcome delays will be easier to obtain if the project has a map of the main factors that can cause the project to experience delays in the schedule. In this study, 80 factors causing project delays were identified, of which eight main factors were categorized as having a very high influence (=5) in causing project delays.

The findings of this study are useful for academics and construction practitioners with potentially deeper insights into the root causes of project schedule delays. The continuous expansion of knowledge and understanding of the importance (criticality) of the causes of delays will assist stakeholders in reducing the incidence of delays, lead to appropriate strategies, and can be used as comparisons or benchmarks in development planning; thus, by knowing the causes of these delays, the contractor can properly calculate these risks to avoid losses impacting the project. However, further research should be conducted with a wider study area to increase the number of respondents.

This study has limitations, namely, sampling was only conducted in the Central Aceh District, and the scope of the study is not wide enough; therefore, the results of the study cannot be generalized to a wider population. The results of this study are specific to Central Aceh Regency, and are not expandable to other regions in Indonesia. Thus, similar studies can be conducted in other districts, provinces, and cities in Indonesia, and the results of the research can be generalized to other regions. Further research is needed to increase the number of respondents such that the results are more comprehensive.

Suggestions for future studies

Our future research will aim to determine the effects of delay factors on construction project costs using the ordinal logistic regression method. Future research will be conducted to determine the delay factors that have a significant effect on construction project costs. These delay factors are expected to serve as a reference for contractor companies carrying out construction projects such that they can avoid construction project losses.

Data availability

Underlying data

Zenodo: Raw data for the study of the f1000 manuscript entitled: Critical Delay Factors for Construction Project in Central Aceh District, Indonesia

This project contains the following underlying data:

  • - Raw Data(1).xlsx

Extended data

Zenodo: Raw data for the study of the f1000 manuscript entitled: Critical Delay Factors for Construction Project in Central Aceh District, Indonesia

This project contains the following extended data:

  • - Questionnaire1.xlsx

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

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Rauzana A, Zahrah A and Dharma W. Critical delay factors for construction projects in Central Aceh District, Indonesia [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2022, 11:474 (https://doi.org/10.12688/f1000research.110024.1)
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Reviewer Report 01 Aug 2022
Atasya Osmadi, School of Housing Building and Planning, Universiti Sains Malaysia, George Town, Malaysia 
Approved with Reservations
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Osmadi A. Reviewer Report For: Critical delay factors for construction projects in Central Aceh District, Indonesia [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2022, 11:474 (https://doi.org/10.5256/f1000research.121592.r143751)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 16 Aug 2022
    Anita Rauzana, Department of Civil Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
    16 Aug 2022
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    REVIEWER COMMENT: There is a lack in explaining why this article is interesting.

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  • Author Response 16 Aug 2022
    Anita Rauzana, Department of Civil Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
    16 Aug 2022
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    REVIEWER COMMENT: There is a lack in explaining why this article is interesting.

    RESPONSE: Thank you very much. We agree with the reviewer and we've added an explanation ... Continue reading
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Reviewer Report 20 Jul 2022
Christopher Amoah, Department of Quantity Surveying and Construction Management, University of the Free State, Bloemfontein, South Africa 
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Amoah C. Reviewer Report For: Critical delay factors for construction projects in Central Aceh District, Indonesia [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2022, 11:474 (https://doi.org/10.5256/f1000research.121592.r142319)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 16 Aug 2022
    Anita Rauzana, Department of Civil Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
    16 Aug 2022
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    REVIEWER COMMENT:
    The abstract omitted the implication of the study and the value of the paper

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COMMENTS ON THIS REPORT
  • Author Response 16 Aug 2022
    Anita Rauzana, Department of Civil Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia
    16 Aug 2022
    Author Response
    ABSTRACT
    REVIEWER COMMENT:
    The abstract omitted the implication of the study and the value of the paper

    RESPONSE: Thank you very much. We agree with the reviewer and we ... Continue reading

Comments on this article Comments (0)

Version 3
VERSION 3 PUBLISHED 29 Apr 2022
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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